also at beehaw

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Joined 1 year ago
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Cake day: June 15th, 2023

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  • So I’m no expert at running local LLMs, but I did download one (the 7B vicuña model recommended by the LocalLLM subreddit wiki) and try my hand at training a LoRA on some structured data I have.

    Based on my experience, the VRAM available to you is going to be way more of a bottleneck than PCIe speeds.

    I could barely hold a 7B model in 10 GB of VRAM on my 3080, so 8 GB might be impossible or very tight. IMO to get good results with local models you really have large quantities of VRAM and be using 13B or above models.

    Additionally, when you’re training a LoRA the model + training data gets loaded into VRAM. My training dataset wasn’t very large, and even so, I kept running into VRAM constraints with training.

    In the end I concluded that in the current state, running a local LLM is an interesting exercise but only great on enthusiast level hardware with loads of VRAM (4090s etc).




  • Probably stating the obvious, but keep the obscure stuff around! You might not get upload immediately but the longer you seed it, the more chance someone else who wants it will come along and you get some of the upload. the most real upload I’ve ever gotten on TL (talking 1.2/1.5/1.9 ratio, absolutely insane ratio to have on a home network for a TL torrent imo) was from submitting a reseed request for several super obscure boxsets that had other leechers and no seeders.

    but do watch out for downloading any more non-freeleech stuff from TL if your ratio is already poor, as that’ll dig you into a bigger hole than just letting what you’ve already grabbed seed.










  • Glad to help! If you end up referencing my PDF and have any questions, feel free to shoot me a message.

    Re: port forwarding, if you don’t have it, it’s kinda like a one-way mirror? Your torrent client can look out through the mirror, but no one can look in, and you’ll only be able to connect with other torrent clients that have a clear window - because your client can see them through the glass and send them a request to connect, and their connection is transparent so they can accept the message. So if there’s a lot of other people out there with one-way mirrors also, you can’t connect to them b/c you can’t see them and vice versa.

    Port forwarding is basically setting your client up with a clear window instead of a mirror - it’ll be able to accept both incoming requests and make outgoing requests, increasing the number of other people you can connect to. Increased connections means more likely to find people on torrents with small amounts of seeders, and I think increased download speeds too.